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A Flipped Classroom Approach for Teaching a Master's Course on Artificial Intelligence
A Flipped Classroom Approach for Teaching a Master’s Course on Artificial Intelligence Robin T. Bye? Software and Intelligent Control Engineering Laboratory Department of ICT and Natural Sciences Faculty of Information Technology and Electrical Engineering NTNU — Norwegian University of Science and Technology Postboks 1517, NO-6025 Ålesund, Norway Email: [email protected] Website: http://www.robinbye.com Abstract. In this paper, I present a flipped classroom approach for teaching a master’s course on artificial intelligence. Traditional lectures from the classroom are outsourced to an open online course that con- tains high quality video lectures, step-by-step tutorials and demonstra- tions of intelligent algorithms, and self-tests, quizzes, and multiple-choice questions. Moreover, selected problems, or coding challenges, are cherry- picked from a suitable game-like coding development platform that rids both students and the teacher of having to implement much of the fun- damental boilerplate code required to generate a suitable simulation en- vironment in which students can implement and test their algorithms. Using the resources of the online course and the coding platform thus free up much valuable time for active learning in the classroom. These learning activities are carefully chosen to align with the intended learn- ing outcomes, curriculum, and assessment to allow for learning to be constructed by the students themselves under guidance by the teacher. Thus, I perceive the teacher’s role as a facilitator for learning, much similar to that of a personal trainer or a coach. Emphasising problem- solving as key to achieving intended learning outcomes, the aim is to select problems that strike a balance between detailed step-by-step tuto- rials and highly open-ended problems. -
L&Rsquo;Ecole 42 Meilleure École De Programmation Du Monde, Vraiment ?,Les Salaires Informatiques Progressent Un Peu En
Télégrammes : Portalis porté par Sopra Steria , LinkedIn exclu des stores en Russie, Nokia brevète son assistant Viki, Semtech séduit par Avanquest. La Justice confie Portalis à Sopra-Steria. Dans un avis notifié le 28 décembre dernier, le ministère de la Justice confie à la SSII Sopra-Steria la réalisation de Portalis, un programme applicatif visant à remplacer les applications actuellement en place pour gérer les contentieux civils des tribunaux de grande instance, tribunaux d’instance, cours d’appel et conseils des prud’hommes. Conclu pour une durée de 7 ans, cet accord-cadre est estimé à environ 13,6 millions d’euros. Décomposé en 6 étapes et devant aboutir à une dématérialisation de bout-en-bout de la justice civile, le programme Portalis complète les autres projets de refonte applicative de la Justice comme Astrea (casier judiciaire), Cassiopée (chaîne pénale), Comedec (dématérialisation des actes d’état civil) ou Genesis (gestion des personnes écrouées). LinkedIn bouté de Google et Apple en Russie. Le Kremlin monte encore d’un cran son courroux contre le réseau social professionnel, maintenant propriété de Microsoft. Après l’avoir bloqué pour non-respect de la loi nationale sur l’obligation d’héberger les données sur le territoire Russe, Moscou demande à Google et à Apple de retirer l’application de leur magasin applicatif (Google Play et App Store). Une demande confirmée par les deux sociétés américaines, a indiqué le New York Times en fin de semaine dernière. Par contre, les deux firmes n’ont pas indiqué si elles allaient se plier aux exigences de la Russie. Pour mémoire, Apple a retiré l’application duNew York Times à la demande des autorités chinoises. -
Practical Perl Tools: Scratch the Webapp Itch With
last tIme, we had the pleasure oF exploring the basics of a Web applica- DaviD n. BLank-EdeLman tion framework called CGI::Application (CGI::App). I appreciate this particular pack- age because it hits a certain sweet spot in practical Perl tools: terms of its complexity/learning curve and scratch the webapp itch with power. In this column we’ll finish up our exploration by looking at a few of the more CGI::Application, part 2 powerful extensions to the framework that David N. Blank-Edelman is the director of can really give it some oomph. technology at the Northeastern University College of Computer and Information Sci- ence and the author of the O’Reilly book Quick review Automating System Administration with Perl (the second edition of the Otter book), Let’s do a really quick review of how CGI::App available at purveyors of fine dead trees works, so that we can build on what we’ve learned everywhere. He has spent the past 24+ years as a system/network administrator in large so far. CGI::App is predicated on the notion of “run multi-platform environments, including modes.” When you are first starting out, it is easi- Brandeis University, Cambridge Technology est to map “run mode” to “Web page” in your head. Group, and the MIT Media Laboratory. He was the program chair of the LISA ’05 confer- You write a piece of code (i.e., a subroutine) that ence and one of the LISA ’06 Invited Talks will be responsible for producing the HTML for co-chairs. -
Declaring Type in Javascript
Declaring Type In Javascript RoscianTweedy Sonnyand picayune sharp his Geoff taig screakstickle somolto. acrobatically Braden remains that Laurie inclinatory: outvoices she his pauperises negativity. her nigrosine runabout too vyingly? Dart is called the collection of the ways of complexity and cons to type in javascript parameter and are available for defining a loop through Chapter 16 Variables Scopes Environments and Closures. As declaring types that type named suit as unicode. If billing account is no matter, arrays with ascii character, is loaded even more? Type running a subtype of niche if their subtype relationship was declared. Expected in to evaluate to a full correctness of life single declaration would take. When declaring types define your primitive types come with the declared in several dimensions, but also access. Variables in javascript, type is not declare types are. Of course, taken a reference to the function is passed. Why in javascript files in new type in javascript parameter is already subscribed. The type inference kicks in for newly declared variables and fields, properties, arrays, for statement variables, overriden methods, method return types and generators. There is declared and declares no right declaration literals and allow javascript, it in our set reduces to. Self guided, community taught developer looking to enable knowledge, domain, and soothe animal pictures with fly world! Although memory that? Difference Between 'null' and 'undefined' in JavaScript TO. Like JavaScript and pride other language TypeScript also provides basic. The dilemma of speed versus elegance is an interesting one. Function glob glob points to global object typeof window. If your first to ensure that the function performs one of the same way to restrict the url of variables that key. -
Object Oriented Programming in Java Object Oriented
Object Oriented Programming in Java Introduction Object Oriented Programming in Java Introduction to Computer Science II I Java is Object-Oriented I Not pure object oriented Christopher M. Bourke I Differs from other languages in how it achieves and implements OOP [email protected] functionality I OOP style programming requires practice Objects in Java Objects in Java Java is a class-based OOP language Definition Contrast with proto-type based OOP languages A class is a construct that is used as a blueprint to create instances of I Example: JavaScript itself. I No classes, only instances (of objects) I Constructed from nothing (ex-nihilo) I Objects are concepts; classes are Java’s realization of that concept I Inheritance through cloning of original prototype object I Classes are a definition of all objects of a specific type (instances) I Interface is build-able, mutable at runtime I Classes provide an explicit blueprint of its members and their visibility I Instances of a class must be explicitly created Objects in Java Objects in JavaI Paradigm: Singly-Rooted Hierarchy Object methods 1 //ignore: 2 protected Object clone(); 3 protected void finalize(); I All classes are subclasses of Object 4 Class<? extends Object> getClass(); 5 I Object is a java object, not an OOP object 6 //multithreaded applications: I Makes garbage collection easier 7 public void notify(); 8 public void notifyAll(); I All instances have a type and that type can be determined 9 public void wait(); I Provides a common, universal minimum interface for objects 10 public -
Better PHP Development I
Better PHP Development i Better PHP Development Copyright © 2017 SitePoint Pty. Ltd. Cover Design: Natalia Balska Notice of Rights All rights reserved. No part of this book may be reproduced, stored in a retrieval system or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical articles or reviews. Notice of Liability The author and publisher have made every effort to ensure the accuracy of the information herein. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors and SitePoint Pty. Ltd., nor its dealers or distributors will be held liable for any damages to be caused either directly or indirectly by the instructions contained in this book, or by the software or hardware products described herein. Trademark Notice Rather than indicating every occurrence of a trademarked name as such, this book uses the names only in an editorial fashion and to the benefit of the trademark owner with no intention of infringement of the trademark. Published by SitePoint Pty. Ltd. 48 Cambridge Street Collingwood VIC Australia 3066 Web: www.sitepoint.com Email: [email protected] ii Better PHP Development About SitePoint SitePoint specializes in publishing fun, practical, and easy-to-understand content for web professionals. Visit http://www.sitepoint.com/ to access our blogs, books, newsletters, articles, and community forums. You’ll find a stack of information on JavaScript, PHP, design, -
Multi-Game Code-Duel for Learning Programming Languages Sven Groppe, Ian Posse¨
c 2019 by the authors; licensee RonPub, Lubeck,¨ Germany. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). Open Access Open Journal of Information Systems (OJIS) Volume 6, Issue 1, 2019 http://www.ronpub.com/ojis ISSN 2198-9281 Multi-Game Code-Duel for Learning Programming Languages Sven Groppe, Ian Posse¨ Institute of Information Systems (IFIS), University of Lubeck,¨ Ratzeburger Allee 160, D-23562 Lubeck,¨ Germany, groppe@ifis.uni-luebeck.de, [email protected] ABSTRACT Software developers compose computer instructions following the rules defined in programming languages for the purpose of automatic information processing. However, different programming languages have different syntax and semantic rules, and support different programming paradigms and design patterns. Learning a programming language needs many efforts and much practicing in order to master the rules and apply the patterns. Leaning multiple programming languages at the same time, of course, needs more efforts. In this work we develop the concept of multi-game and an e-learning platform called “Multi-Game Platform for Code-Duels” for learning multiple programming languages easily and efficiently. A multi-game is a video game, which consists of several mini-games. Dividing a big game into mini-games reduces the development efforts and implementation complexity. “Builders” is a multi-game developed in our platform consisting of three mini-games. Each mini-game can be solved by implementing a program by learners using different languages. Using our multi-game platform, each mini-game of Builders can be developed easily and played independently of the other mini-games. -
Introducing Javascript OSA
Introducing JavaScript OSA Late Night SOFTWARE Contents CHAPTER 1 What is JavaScript OSA?....................................................................... 1 The OSA ........................................................................................................................ 2 Why JavaScript? ............................................................................................................ 3 CHAPTER 2 JavaScript Examples.............................................................................. 5 Learning JavaScript ....................................................................................................... 6 Sieve of Eratosthenes..................................................................................................... 7 Word Histogram Example ............................................................................................. 8 Area of a Polygon .......................................................................................................... 9 CHAPTER 3 The Core Object ................................................................................... 13 Talking to the User ...................................................................................................... 14 Places ........................................................................................................................... 14 Where Am I?................................................................................................................ 14 Who Am I? ................................................................................................................. -
Concepts in Programming Languages Practicalities
Concepts in Programming Languages Practicalities I Course web page: Alan Mycroft1 www.cl.cam.ac.uk/teaching/1617/ConceptsPL/ with lecture slides, exercise sheet and reading material. These slides play two roles – both “lecture notes" and “presentation material”; not every slide will be lectured in Computer Laboratory detail. University of Cambridge I There are various code examples (particularly for 2016–2017 (Easter Term) JavaScript and Java applets) on the ‘materials’ tab of the course web page. I One exam question. www.cl.cam.ac.uk/teaching/1617/ConceptsPL/ I The syllabus and course has changed somewhat from that of 2015/16. I would be grateful for comments on any remaining ‘rough edges’, and for views on material which is either over- or under-represented. 1Acknowledgement: various slides are based on Marcelo Fiore’s 2013/14 course. Alan Mycroft Concepts in Programming Languages 1 / 237 Alan Mycroft Concepts in Programming Languages 2 / 237 Main books Context: so many programming languages I J. C. Mitchell. Concepts in programming languages. Cambridge University Press, 2003. Peter J. Landin: “The Next 700 Programming Languages”, I T.W. Pratt and M. V.Zelkowitz. Programming Languages: CACM (published in 1966!). Design and implementation (3RD EDITION). Some programming-language ‘family trees’ (too big for slide): Prentice Hall, 1999. http://www.oreilly.com/go/languageposter http://www.levenez.com/lang/ ? M. L. Scott. Programming language pragmatics http://rigaux.org/language-study/diagram.html (4TH EDITION). http://www.rackspace.com/blog/ Elsevier, 2016. infographic-evolution-of-computer-languages/ I R. Harper. Practical Foundations for Programming Plan of this course: pick out interesting programming-language Languages. -
Every Programmer Should Know
Every Programmer Should Know Github A collection of (mostly) technical things every software developer should know. ☝️ These are resources I can recommend to every programmer regardless of their skill level or tech stack Highly opinionated . Not backed by science. Comes in no particular order ♻️ U like it? ⭐️ it and share with a friendly developer! U don't like it? Watch the doggo P.S. You don't need to know all of that by heart to be a programmer. But knowing the stuff will help you become better! P.P.S. Contributions are welcome! Introduction Map of Computer Science 40 Key Computer Science Concepts Explained In Layman’s Terms Falsehoods Awesome Falsehoods Curated list of falsehoods programmers believe in. Check for things you do not know about Strings, Addresses, Names, Numbers, Emails, Timezones and Dates and more. Algorithms Big O Cheatsheet Grokking Algorithms Algorithms Visualization Data Structures UC Berkeley, Data Structures Course Foundations of Data Structures - EDX Data Structures - Coursera Mathematics for Computer Science - Eric Lehman Numbers How to Count Floating Point Guide What Every Computer Scientist Should Know About Floating-Point Arithmetic Basic Number Theory Every Programmer Should Know... Strings Unicode and Character Sets Homoglyphs Unicode Common Locale Data Repository ASCII UTF-8 Latency Interactive Latency Infographics Latency Numbers Every Programmer Should Know Time Some notes about time Memory What every Programmer should know about memory Distributed Systems Designing Data-Intensive Applications -
The C Programming Language
The C programming Language The C programming Language By Brian W. Kernighan and Dennis M. Ritchie. Published by Prentice-Hall in 1988 ISBN 0-13-110362-8 (paperback) ISBN 0-13-110370-9 Contents ● Preface ● Preface to the first edition ● Introduction 1. Chapter 1: A Tutorial Introduction 1. Getting Started 2. Variables and Arithmetic Expressions 3. The for statement 4. Symbolic Constants 5. Character Input and Output 1. File Copying 2. Character Counting 3. Line Counting 4. Word Counting 6. Arrays 7. Functions 8. Arguments - Call by Value 9. Character Arrays 10. External Variables and Scope 2. Chapter 2: Types, Operators and Expressions 1. Variable Names 2. Data Types and Sizes 3. Constants 4. Declarations http://freebooks.by.ru/view/CProgrammingLanguage/kandr.html (1 of 5) [5/15/2002 10:12:59 PM] The C programming Language 5. Arithmetic Operators 6. Relational and Logical Operators 7. Type Conversions 8. Increment and Decrement Operators 9. Bitwise Operators 10. Assignment Operators and Expressions 11. Conditional Expressions 12. Precedence and Order of Evaluation 3. Chapter 3: Control Flow 1. Statements and Blocks 2. If-Else 3. Else-If 4. Switch 5. Loops - While and For 6. Loops - Do-While 7. Break and Continue 8. Goto and labels 4. Chapter 4: Functions and Program Structure 1. Basics of Functions 2. Functions Returning Non-integers 3. External Variables 4. Scope Rules 5. Header Files 6. Static Variables 7. Register Variables 8. Block Structure 9. Initialization 10. Recursion 11. The C Preprocessor 1. File Inclusion 2. Macro Substitution 3. Conditional Inclusion 5. Chapter 5: Pointers and Arrays 1. -
210 CHAPTER 7. NAMES and BINDING Chapter 8
210 CHAPTER 7. NAMES AND BINDING Chapter 8 Expressions and Evaluation Overview This chapter introduces the concept of the programming environment and the role of expressions in a program. Programs are executed in an environment which is provided by the operating system or the translator. An editor, linker, file system, and compiler form the environment in which the programmer can enter and run programs. Interac- tive language systems, such as APL, FORTH, Prolog, and Smalltalk among others, are embedded in subsystems which replace the operating system in forming the program- development environment. The top-level control structure for these subsystems is the Read-Evaluate-Write cycle. The order of computation within a program is controlled in one of three basic ways: nesting, sequencing, or signaling other processes through the shared environment or streams which are managed by the operating system. Within a program, an expression is a nest of function calls or operators that returns a value. Binary operators written between their arguments are used in infix syntax. Unary and binary operators written before a single argument or a pair of arguments are used in prefix syntax. In postfix syntax, operators (unary or binary) follow their arguments. Parse trees can be developed from expressions that include infix, prefix and postfix operators. Rules for precedence, associativity, and parenthesization determine which operands belong to which operators. The rules that define order of evaluation for elements of a function call are as follows: • Inside-out: Evaluate every argument before beginning to evaluate the function. 211 212 CHAPTER 8. EXPRESSIONS AND EVALUATION • Outside-in: Start evaluating the function body.